Since the introduction of chip scale packages (CSPs) in the early 90s, they have continuously increased their market share due to their advantages of small form factor, cost effectiveness and PCB optimization. The reduced package size brings challenges in performing failure analysis. This article provides an overview of CSPs and their classification as well as their advantages and applications, and reveals some of the challenges in performing failure analysis on CSPs, particularly for CSPs in special package configurations such as stacked die multi-chip-packages (MCPs) and wafer level CSPs (WLCSPs). The discussion covers special requirements of CSPs such as precision decapsulation for fine ball grid array packages, accessing the failing die for MCP packages, and careful handling for WLCSP. Solutions and best practices are shared on how to overcome these challenges. The article also presents a few case studies to demonstrate how failure analysis work on CSPs can be successfully completed.

The complexity of semiconductor chips and their packages has continuously challenged the known methods to analyze them. With larger laminates and the inclusion of multiple stacked die, methods to analyze modern semiconductor products are being pushed toward their limits to support these 2.5D and 3D packages. This article focuses on these methods of fault isolation, non-destructive imaging, and destructive techniques through an iterative process for failure analysis of complex packages.

The scanning acoustic microscope (SAM) is an important tool for development of improved molded and flip chip packages. The SAM used for integrated circuit inspection is a hybrid instrument with characteristics of both the Stanford SAM and the C-scan recorder. This chapter presents the historical development of SAM for integrated circuit package inspection, SAM theory, and analysis considerations. Case studies are presented to illustrate the practical applications of SAM. Other non-destructive imaging tools are briefly discussed, as well as SAM challenges and methods including spectral signature analysis and GHz-SAM.